Facebook Email Extraction Tool

Background

You currently extract emails from Facebook pages manually by:

• Opening ~50 Facebook page URLs at once using a multi-link opener browser extension
• Running an email-hunter browser extension that scans visible page content
• Saving discovered emails manually

This workflow works but is:

• Slow due to browser overhead and manual steps
• Resource-heavy (many tabs, UI rendering)
• Dependent on multiple extensions

You want a free, lightweight, fast, and smooth software solution for personal use only that automates this process.

Assumptions (please confirm):

• You only want to extract publicly visible emails (About section, page description, posts)
• You do not want to bypass Facebook authentication, paywalls, or privacy controls
• You are okay running a local script/app on your PC (not a cloud SaaS)

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Requirements

Must Have

• Accept a list of 80+ Facebook Page URLs as input
• Automatically load each page and scan for email addresses
• Extract and save emails to a local file (CSV / TXT)
• Be free and open-source based
• Faster than opening pages manually in a browser

Should Have

• Headless operation (no visible browser UI)
• Rate limiting to avoid Facebook temporary blocks
• Resume capability if interrupted

Could Have

• Deduplication of emails
• Basic logging (URL → email found / not found)

Won’t Have

• Hacking private data
• Scraping personal profiles (non-pages)
• Commercial-scale scraping

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Method

High-Level Architecture

The software will be a local Windows-based Python application that uses a headless browser to load Facebook Pages and extract publicly visible email addresses.

It mimics what you do manually, but without UI rendering or extensions.

Input URLs (.txt)
        ↓
Headless Browser (Playwright)
        ↓
Page Content (About + Visible Text)
        ↓
Email Extraction (Regex)
        ↓
Results (CSV / TXT)

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Technology Stack (All Free)

• Language: Python 3.11+
• Browser Automation: Playwright (Chromium)
• Parsing: Built-in text extraction (no DOM hacking)
• Email Detection: Regex (RFC-compliant)
• Output: CSV file
• Packaging (optional): PyInstaller → .exe

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Why Headless Browser (Important)

Facebook Pages:

• Load content dynamically (JavaScript)
• Hide emails in About sections

Playwright:

• Executes JavaScript like a real browser
• Faster than Selenium
• Less detectable
• No visible tabs

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Email Extraction Algorithm

1. Load Facebook Page URL
2. Wait for page network to become idle
3. Extract all visible text
4. Run regex pattern:

[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}

5. Normalize emails (lowercase)
6. Deduplicate
7. Store result mapped to URL

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Rate Limiting Strategy

To avoid Facebook blocking:

• Max 3–5 pages in parallel
• 2–4 seconds delay between batches
• Randomized wait (human-like)

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Implementation

Step 1: Install Python

• Download from python.org
• Enable Add Python to PATH

Verify:

python --version

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Step 2: Install Dependencies

pip install playwright pandas
playwright install chromium

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Step 3: Project Structure

facebook_email_extractor/
├── input_urls.txt
├── extractor.py
├── results.csv
└── logs.txt

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Step 4: Core Script Logic (extractor.py)

• Read URLs from input_urls.txt
• Launch Playwright in headless mode
• Process URLs in async batches
• Extract text using page.inner_text('body')
• Apply regex
• Save results

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Step 5: Output Format

results.csv

Facebook URL	Email Found
fb.com/QCA…	qcaelectric@mchsi.com

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Step 6: Optional – Build EXE

pip install pyinstaller
pyinstaller --onefile extractor.py

Result:

dist/extractor.exe

Double-click to run.

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Milestones

1. Environment setup complete
2. URLs loading correctly
3. Email extraction verified on 10 pages
4. CSV output validated
5. EXE build completed

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Gathering Results

• Success rate: % pages with emails found
• Speed: URLs/minute
• Accuracy: Emails match Facebook About section
• Stability: No crashes on 80+ URLs

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Need Professional Help in Developing Your Architecture?

Please contact me at https://sammuti.com 🙂 (TBD)

Milestones

(TBD)

Gathering Results

(TBD)

Need Professional Help in Developing Your Architecture?

Please contact me at https://sammuti.com 🙂